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URI permanente desta comunidadehttps://thoth.dti.ufv.br/handle/123456789/3352
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Item Quality of Coffea canephora beverage as a function of genotype, processing method and grain size(Editora UFLA, 2020) Lima, Julião Soares de Souza; Silva, Samuel de Assis; Fonseca, Abel Souza da; Pajehu, Levi FragaAfter harvesting, the coffee beans tend to lose quality during fruit processing and grain storage, thus affecting the quality of the obtained beverage. The objective of this research was to evaluate the quality of the beverage obtained from conilon coffee (Coffea canephora) for seminal (S) and clonal (C) genotypes, two processing methods of the coffee cherries (natural and peeled), different sizes of coffee beans determined by sieves and two storing periods of 45 and 90 days. The coffee cherries were dried, natural (N) and peeled (P), on cement floor in greenhouse and classified through the 13, 14, 15, 16 and 17 sieves. After 45 days of storage, it is observed that the overall score (OS) of the beverage prepared from peeled clonal (PC) and natural seminal (NS) coffee beans increased with increasing bean size (sieves 15 and 16). The treatments PS13, PS14, PS15, PS16, PC15 and PC16 were significantly different, however, the overall score (OS) decreased after samples were stored for 90 days. It is concluded that after storing the coffee bean samples for 45 and 90 days, the OS decreased significantly for peeled seminal coffee (PS) sieves 13, 14, 15, and 16 and peeled clonal coffee (PC) sieves 15 and 16.Item Fuzzy logic in the spatial and temporal distribution in the quality of the beverage in conilon coffee(Editora UFLA, 2019-04) Fonseca, Abel Souza da; Lima, Julião Soares de Souza; Silva, Samuel de Assis; Dardengo, Maria Christina Junger Delôgo; Xavier, Alexandre CandidoThe objective in this study was to evaluate the spatial and temporal variability of the beverage quality by applying the fuzzy classification in the final global sensory analysis, for Coffea canephora Pierre ex A. Froehner, in two consecutive harvests. The studied variables were: fragrance (aroma), flavor, bitterness (sweetness), set, balance, cleaning, aftertaste, mouth feel, uniformity, salinity (acidity) and drink (global note). To the average overall scores of the drinks obtained on the cup-tasting at 80.0 points of a sampling, the mesh has applied the function of association of the fuzzy classification linear model to determine the degree of pertinence. The data were analyzed by the descriptive statistics and then by geostatistics to verify the existence and quantify the degree of spatial dependence of the variables. In the interval classified as “very good coffee” is found in the global average grade, in the two harvests. The methodology fuzzy applied in the global beverage note of the coffee conilon seminal made it possible to determine their spatial variability in the same distribution pattern in the two harvests, close ranges, and adjustments to the spherical model, which was confirmed by the spatial correlation of 61.6% among the fuzzy maps for the global score.Item Estimativa da produtividade de café conilon utilizando técnicas de cokrigagem(Universidade Federal de Viçosa, 2016-01) Lima, Julião Soares de Souza; Silva, Samuel de Assis; Oliveira, Rone Batista de; Fonseca, Abel Souza daEstimar a variabilidade espacial de uma cultura em campo auxilia no entendimento de alguns fenômenos que podem estar correlacionados com a sua produtividade. Este trabalho teve, como objetivo, estimar, pelo método da cokrigagem, a produtividade (kg ha -1 ) do cafeeiro conilon, em três safras consecutivas, tendo como covariável o número de ramos produtivos (plagiotrópicos) por planta. No centro de uma lavoura, demarcou-se uma malha amostral, com 109 pontos georreferenciados, sendo cada ponto constituído por cinco plantas. Fez-se o acompanhamento, por três safras agríco- las consecutivas, contando-se os ramos produtivos e realizando-se a colheita manual. O café colhido foi separado, para cada estádio de maturação (cereja, verdoengo e verde), e secado para umidade padrão de 12%, determinando-se a produtividade de café seco em coco (kg ha -1 ). A produtividade e o número de ramos produtivos por ponto amostral apresentaram correlação linear e dependência espacial nas três safras. As estimativas das produtividades pelos núme- ros de ramos produtivos apresentaram similaridades na cokrigagem, mostrando ser a covariável ramo produtivo eficiente na estimativa da produtividade do café conilon (Robusta Tropical).Item Spatial variability of the productivity and the nutritional condition of Coffee canephora(Editora UFLA, 2015-10) Fonseca, Abel Souza da; Lima, Julião Soares de Souza; Silva, Samuel de Assis; Xavier, Alexandre Candido; Drumond Neto, Antonio PereiraUtilizing precision farming techniques along with the Diagnosis and Recommendation Integrated System (DRIS) allows crop management to be improved, thereby making it possible to better control plant nutrition and to assist in reducing fertilizer expenditures. This study aimed to evaluate the spatial variability of the nutritional status of conilon coffee (Coffea canephora), using the Nutritional Balance index (NBI). 140 points were georeferenced within a coffee crop, each sampling point contained five plants. Leaf samples were analyzed in order to determine levels of N, P, K, Ca, Mg, S, Fe, B, Zn, Mn and Cu. The crop showed itself to have a nutritional imbalance, as shown by the deficiency and excess variation of some nutrients in the crop. The nutritional balance index (NBI) was not correlated with productivity (Prod), indicating that, when the crop has a high nutritional imbalance IBN is not a good tool for establishing nutritional standards for conilon coffee.